We verify the rocks and the data before we quantify anything.

Feasibility Studies

A feasibility study answers one question before a dollar goes toward inversion: can the seismic data you have actually distinguish the property you care about? TraceSeis evaluates rock sensitivity and data quality independently, so the answer is defensible rather than assumed.

• Sensitivity analysis — does the property of interest produce a distinguishable seismic response?
• Data quality evaluation — does the seismic data faithfully represent the earth's reflectivity?
• Synthetic-to-real comparison — are computed synthetics consistent with the measured data at well locations?
• Go/no-go recommendation with documented basis

Lithofacies Prediction

A machine-learning methodology for predicting lithofacies (sandstone, shale, carbonate) from seismic and well data. Fast, efficient, and published in SEG's The Leading Edge with case studies in the Niobrara Formation and deepwater turbidite systems.

• Does not require low-dimensionality physical model fitting
• Integrates seismic attributes and well-log data directly
• Validated with CONFIRM statistical grading at client request
• Case-study proven in both conventional and unconventional plays

Lithologic Inversion

Seismic inversion to reservoir and geomechanical properties using TraceSeis's Relative Rock Properties approach. Standard inversion requires a Low Frequency Model — a constructed low-frequency layer that is often poorly constrained and introduces significant uncertainty. The Relative Rock Properties methodology works without it.

• Acoustic impedance, Vp/Vs, density, and geomechanical properties
• Bypasses Low Frequency Model requirement where well control is sparse
• Verified at well locations before delivery
• Applicable to exploration, development, and unconventional characterization

CONFIRM™ Model Validation

If a lithofacies or classification model is part of your workflow — whether from TraceSeis or any other source — CONFIRM grades its statistical consistency across every category it claims to handle. A model that scores 84% overall can still fail a critical formation type entirely. CONFIRM finds that before you drill on it.

Learn more about CONFIRM →